AI-Assisted Rapid Warning for Mental Disorders Based on High-Resolution Fundus Imaging and High-Speed Eye-Tracking
Artificial Intelligence-Assisted Rapid Warning for Mental Disorders Based on High-Resolution Fundus Images and High-Speed Eye-Tracking Trajectories
1 other identifier
observational
2,000
1 country
1
Brief Summary
This project aims to collect eye-tracking trajectories and fundus imaging data from individuals seeking mental health services. By utilizing artificial intelligence, combining dynamic (eye-tracking) and static (fundus) data, and employing convolutional neural network analysis methods, the investigators will develop models for the classification and early warning of common mental disorders. These models will assist clinicians in making objective diagnoses of common mental disorders and in predicting the risk of adverse outcomes, thereby addressing the significant technical bottleneck of the current lack of objective diagnostic and warning instruments for mental disorders.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2024
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 15, 2024
CompletedStudy Start
First participant enrolled
July 20, 2024
CompletedFirst Posted
Study publicly available on registry
July 22, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 30, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 30, 2025
CompletedJuly 23, 2024
July 1, 2024
1.4 years
July 15, 2024
July 21, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Eye-tracking fixation point trajectory
Eye-tracking fixation point trajectory during free viewing of specific images by the participant (5 minutes)
1 year
Fundus examination
Color fundus imaging collected by a digital fundus camera (Canon CR-2) under non-mydriatic conditions of the participant
1 year
Study Arms (2)
the Clinical High Risk for Psychosis (CHR) Group
Through the Structured Interview for Prodromal Syndromes/Scale of Prodromal Symptoms (SIPS/SOPS), the participants should meet the Criteria of Prodromal Syndrome. Participants should fulfill at least one of the prodromal syndrome criteria: (1) brief intermittent psychotic syndrome, (2) attenuated positive symptom syndrome, or (3) genetic risk and deterioration syndrome
the Clinically Diagnosed Common Mental Disorders Group
1,000 patients with common mental disorders, including 300 patients with schizophrenia, 300 patients with affective disorders, 200 patients with anxiety disorders, and 200 patients with cognitive impairment in the elderly.
Interventions
Participants will be informed that this is not a treatment study and it involves naturalistic follow-up without any extra intervention. They will otherwise follow the routine clinical treatment procedure.
Eligibility Criteria
Help-seeking first-visit participants will be consecutively recruited from the Shanghai Psychotherapy and Psychological Counselling Centre at the Shanghai Mental Health Centre. They will be screened for eligibility by their clinicians.
You may qualify if:
- be aged 14 to 45-year-old
- have had at least 6-years of primary education
- be drug-naïve
- be understanding the survey, be willing to enrol in the study and sign the informed consent
- Through the Structured Interview for Prodromal Syndromes/Scale of Prodromal Symptoms (SIPS/SOPS), the participants should meet the Criteria of Prodromal Syndrome. Participants should fulfil at least one of the prodromal syndrome criteria: (1) brief intermittent psychotic syndrome, (2) attenuated positive symptom syndrome, or (3) genetic risk and deterioration syndrome
- Meets ICD-11 diagnostic criteria for schizophrenia
- Meets ICD-11 diagnostic criteria for mood disorders
- Meets ICD-11 diagnostic criteria for anxiety disorders
- Meets ICD-11 diagnostic criteria for neurocognitive disorders
You may not qualify if:
- Acute or chronic renal failure; liver cirrhosis or active liver diseases
- Abnormal laboratory tests results judged by the researchers to be clinically significant and considered to affect the efficacy of the test drugs or the safety of the subjects
- Severe or unstable physical diseases, including: neurological disorders (delirium, dementia, stroke, epilepsy, migraine, etc.), congestive heart failure, angina pectoris, myocardial infarction, arrhythmia, hypertension (including untreated or uncontrolled hypertension), malignant tumours, immune compromise, and blood glucose above 12 mmol/L
- Alcohol abuse within 30 days, or alcohol or drug dependence within 6 months before the trial
- Pregnant or lactating women, or women in childbearing age who are positive in urine human chorionic gonadotropin test, or men and women who do not take effective contraceptive measures or plan for pregnancy within 3 months after the initiation of the trial
- Stroke within the last month
- Participating in any clinical trial within 30 days before the baseline
- Other situations judged by the investigators not to be suitable for the clinical trial
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Shanghai Mental Health Center
Shanghai, Shanghai Municipality, 200030, China
MeSH Terms
Conditions
Study Officials
- PRINCIPAL INVESTIGATOR
TianHong Zhang, Doctor
Shanghai Mental Health Center
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- CROSS SECTIONAL
- Target Duration
- 1 Year
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
July 15, 2024
First Posted
July 22, 2024
Study Start
July 20, 2024
Primary Completion
December 30, 2025
Study Completion
December 30, 2025
Last Updated
July 23, 2024
Record last verified: 2024-07
Data Sharing
- IPD Sharing
- Will not share